Related Works
Arwa Ahmed Gasm Elseid, Alnazier Osman Mohammed Hamza in Computer-Aided Glaucoma Diagnosis System, 2020
Pachiyappan et al. (2012) proposed a technique for Glaucoma diagnosis utilizing fundus images of the eye and the optical coherence tomography (OCT). The Retinal Nerve Fiber Layer (RNFL) can be classified into anterior boundary, which is the top layer of RNFL, the posterior boundaries (bottom layer of RNFL), and also the distance in between the two boundaries. glaucomatous and non-glaucomatous classification depends on the thickness of the nerve fiber layer, which is nearly 105 μm. This approach provided optical disc detection with a 97.75% accuracy.
The Developmental Glaucomas
Neil T. Choplin, Carlo E. Traverso in Atlas of Glaucoma, 2014
Optic nerve head and retinal nerve fiber layer imaging by optical coherent tomography (OCT) and Heidelberg retinal tomography (HRT) is feasible in pediatric age. Anyway, normative values, reproducibility, and standardization of these techniques in children are yet to be established. Irrespective of the feasibility of optic nerve head imaging, color photos are also recommended (Figure 13.28).
Optical Coherence Tomography (Oct) and Fundus Fluorescein Angiography (FFA) in Neuro-Ophthalmology
Vivek Lal in A Clinical Approach to Neuro-Ophthalmic Disorders, 2023
On follow-up visit for 1 month, the best-corrected visual acuity improved to 6/18 in the left eye and there was temporal disc pallor in the left eye. GCA reveals decreased ganglion cell thickness in the left eye, as compared to left eye (Figure 3A.4e and f). OCT pRNFL showed thinning of the temporal retinal nerve fiber layer in the left eye as compared to the right eye (Figure 3A.4g and h).
The Correlation of Inflammation and Microvascular Changes with Diabetic Retinal Neurodegeneration
Published in Current Eye Research, 2021
Tuna Celik Buyuktepe, Sibel Demirel, Figen Batıoğlu, Emin Özmert
All SD-OCT image sets contained a minimum of 13 B-scans distributed in a horizontal raster pattern, with a scan speed of 27,000 A-scans/second, a scan depth of 2.00 mm, axial resolution of 5 µm, and transverse resolution of 15 µm. After pupillary dilation, each subject was seated in front of the OCT scanner, and their head was stabilized on the chin rest. An internal fixation target was used to avoid eye movement. Retinal layers and thickness analysis were recorded in the foveal area (1-mm zone centered on the fovea as defined by the Early Treatment Diabetic Retinopathy Study, ETDRS). The automatic segmentation of the retinal layers was performed, and the segmentation lines were manually adjusted if needed. The thicknesses of the following layers were recorded: 1) the retinal nerve fiber layer (RNFL), 2) the ganglion cell layer (GCL), 3) the inner plexiform layer (IPL), 4) the inner nuclear layer (INL), 5) the outer plexiform layer (OPL), 6) the outer nuclear layer (ONL), and 7) the retinal pigment epithelium (RPE). The total retinal thickness was defined as the distance between the vitreoretinal interface and the anterior surface of the RPE along each A-scan. The “inner retina” was defined as the space lying between the inner aspect of the internal limiting membrane and the inner border of the OPL, whereas the “outer retina” was defined as the space lying between the inner border of the OPL and the inner aspect of the RPE.
Investigation of Retinal Alterations in Patients Recovered from COVID-19: A Comparative Study
Published in Ocular Immunology and Inflammation, 2023
Mehmet Özbaş, Bengi Demirayak, Aslı Vural, Yunus Karabela, Fadime Ulviye Yigit
All patients underwent biomicroscopic anterior and posterior segment evaluation. Fundus photography was done using a fundus camera (Kowa VX-20, Kowa, Tokyo, Japan). OCT and OCTA, using the split-spectrum amplitude decorrelation angiography (SSADA) algorithm (RTVue XR Avanti with Angio Vue, Optovue Inc., Fremont, CA, USA), were performed for all participants. Macular 6x6-mm scans were used. Each scan was automatically segmented by the software to visualize the SCP and DCP of the retina. The whole, foveal, and parafoveal vessel density (as a percentage) of the SCP, DCP, and FAZ area (in millimeters squared) were analyzed. In addition, retinal nerve fiber layer thickness and subfoveal thickness (in microns) were measured and compared. Only the right eyes of the patients and participants in the control group were included in the study. This was done to eliminate similarities of the measurements in the same person as a confounding factor. The status of hospitalization, level of oxygen saturation, medical treatment used, and presence of pneumonia of the thorax were recorded via computerized tomography (CT).
Germany: Longitudinal analysis of intraocular pressure in healthy eyes
Published in Cogent Medicine, 2020
Bettina Hohberger, Marianna Lucio, Christian Y. Mardin, Robert Lämmer
Normality was defined as age-dependent ophthalmological findings and no systemic disorder with ophthalmologic involvement. In addition, data of standard white-on-white full-field perimetry had to be with <3 adjoining test points with defects p < 0.05, no adjoining test points with defects p < 0.01, and mean visual field defect (MD) < 2.8 dB. IOP was required to be ≤21 mmHg and optic nerve head had to be healthy (stage 0), classified after Jonas (Jonas et al., 1988a, 1988b). Exclusion criteria was IOP > 21 mmHg in two repeated measurements. Retinal nerve fiber layer thickness was within normal limits (Spectralis® OCT). Data of normal subjects with ≥2 visits and ≥annual interval were analyzed (number of visits: 2–18, median observation period: 8.3 ± 5.8 years). Informed consent was received from all subjects. The study has been approved by the local ethics committee and performed according to the tenets of the Declaration of Helsinki.
Related Knowledge Centers
- Anatomy
- Choroid
- Eye
- Optic Disc
- Optic Nerve
- Ora Serrata
- Plexus
- Retina
- Myelin
- Lamina Cribrosa Sclerae